Enhancv?

YESA focused first version is a sensible AI-assisted build. Keep the first release narrow and polish the workflow people repeat.

BUILD FIRST

One defined user and a repeatable end-to-end job
A small, clear data model with sign-in only if it is genuinely needed
Loading, empty, error, and success states that make the workflow feel complete

LEAVE FOR LATER

Large integration marketplaces
Multi-region scale and enterprise administration
Every power-user setting from the established product

RESEARCH NOTES

What this tool actually does.

Checked 2026-09-06

Enhancv is a web-based resume builder and job application suite. It offers 20+ professional resume sections, ATS-friendly templates, and a 27-point resume/ATS checker that scores a resume against a job ad and suggests fixes. Its AI tailoring tool lets users paste a job description, select 3–5 key qualifications, and have the resume rewritten with changes highlighted for manual approval; it claims to generate only from real experience, not invented facts. The builder includes an AI bullet-point generator, a cover letter generator with matching templates, AI translation into 20+ languages, PDF/TXT export, and a job tracker with custom statuses and Excel/Sheets import. Interview prep generates likely questions, STAR stories, and a personal pitch. The service offers a free plan and paid plans starting at $16.50, with a 7-day free trial. Features described here are based solely on the officia

SOURCES

RESEARCHED BUILD PROMPT

Give this to your coding agent.

Build a web app, 'ApplyForge' (working name), that reproduces the core Enhancv workflow: a resume builder with 20+ editable sections (Experience, Skills, Summary, Education, Certifications, Awards, Projects, Languages, etc.), ATS-friendly layout, and a job-tailoring flow. User-facing workflow: (1) user fills or imports resume data into structured sections; (2) user pastes a job description and selects 3–5 qualifications; the app rewrites their bullets and summary to match, showing every change inline with accept/reject controls; (3) an ATS checker scores the adapted resume using a keyword and formatting rubric (e.g., presence of metrics, missing terms, missing sections) and lists actionable fixes; (4) user can generate a matching cover letter from resume + job ad and export the resume as PDF. Technical requirements: responsive React (Next.js) front end, Node/Express API, Postgres or SQLite for user data, an LLM provider (e.g., OpenAI-compatible API) for tailoring and cover letter generation, a PDF renderer (Puppeteer or react-pdf) for ATS-friendly export. Do not copy Enhancv's branding, text, visual design, or UI layout; create an original, minimal interface. Out of scope: job board integration, multi-language translation, paid subscriptions/accounts, interview prep, and resume parsing/import from existing files. Include a README with setup instructions, environment variables for the LLM API, and clear limitations (e.g., LLM output must be reviewed, ATS scoring is heuristic, not a guarantee).

Visit the official product page